{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3c443334",
   "metadata": {},
   "outputs": [],
   "source": [
    "from selenium import webdriver\n",
    "from selenium.webdriver.support import expected_conditions as EC\n",
    "from selenium.webdriver.support.ui import WebDriverWait\n",
    "from selenium.webdriver.common.by import By\n",
    "import pandas as pd\n",
    "from bs4 import BeautifulSoup\n",
    "import requests\n",
    "import time\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.render import make_snapshot\n",
    "from pyecharts.charts import Scatter\n",
    "from pyecharts.charts import Bar\n",
    "from pyecharts.commons.utils import JsCode\n",
    "from pyecharts.charts import Pie"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d3989d6",
   "metadata": {},
   "source": [
    "## 爬取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "dc398cb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://shenzhen.anjuke.com/sale/?from=HomePage_TopBar'\n",
    "driver = webdriver.Chrome()\n",
    "driver.get(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0a27cc8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2449a3b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def getData():\n",
    "    # 获取页面数据\n",
    "    soup = BeautifulSoup(driver.page_source, 'lxml')\n",
    "    \n",
    "    text = soup.findAll('div', attrs={'tongji_tag':'fcpc_ersflist_gzcount'})\n",
    "    \n",
    "    for i in range(len(text)):\n",
    "        one = {}\n",
    "    \n",
    "        # 获取标题\n",
    "        one['title'] = text[i].find('h3', class_=\"property-content-title-name\")['title']\n",
    "\n",
    "        houseData = text[i].findAll('p', class_=\"property-content-info-text\")[:3]\n",
    "\n",
    "        # 获取户型\n",
    "        one['houseType'] = houseData[0].text.replace(' ', '')\n",
    "\n",
    "        # 获取面积\n",
    "        one['housArea'] = houseData[1].text.strip()\n",
    "\n",
    "        # 获取走向\n",
    "        one['houseTrend'] = houseData[2].text\n",
    "\n",
    "        # 获取价格\n",
    "        one['price'] = text[i].find('p', class_=\"property-price-total\").text.strip()\n",
    "\n",
    "        # 获取每平方米的价格\n",
    "        one['pricePerMeter'] = text[i].find('p', class_=\"property-price-average\").text\n",
    "\n",
    "        residence = list(text[i].find('div', class_=\"property-content-info property-content-info-comm\").stripped_strings)\n",
    "\n",
    "        # 获取小区名\n",
    "        one['residenceName'] = residence[0]\n",
    "\n",
    "        # 获取地理位置\n",
    "        one['position'] = '-'.join(residence[1:])\n",
    "        \n",
    "        data.append(one)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e54f861f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取所有页面数据\n",
    "while True:\n",
    "    try:\n",
    "        wait = WebDriverWait(driver, 10)\n",
    "        wait.until(\n",
    "            EC.element_to_be_clickable(\n",
    "                (By.CLASS_NAME, 'next-active')\n",
    "            )\n",
    "        ).click()\n",
    "        getData()\n",
    "        time.sleep(3)\n",
    "    except:\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4dec2d19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>houseType</th>\n",
       "      <th>housArea</th>\n",
       "      <th>houseTrend</th>\n",
       "      <th>price</th>\n",
       "      <th>pricePerMeter</th>\n",
       "      <th>residenceName</th>\n",
       "      <th>position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>南站旁，玥共3.5K，带车薇，可深公基金，星河丹堤精装修3房</td>\n",
       "      <td>3室2厅1卫</td>\n",
       "      <td>77.7㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>109 万</td>\n",
       "      <td>14025元/㎡</td>\n",
       "      <td>星河丹堤花园</td>\n",
       "      <td>深圳周边-惠州-星河东七路1号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>翠竹苑，指导价卖，红本满五年，总价低带翠竹没占用</td>\n",
       "      <td>2室1厅1卫</td>\n",
       "      <td>37㎡</td>\n",
       "      <td>北</td>\n",
       "      <td>268.4 万</td>\n",
       "      <td>72600元/㎡</td>\n",
       "      <td>翠竹苑</td>\n",
       "      <td>罗湖-翠竹-东门北路2057号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>捡漏（低于指导价15万急卖）税费少 满五年 免个税 花园中间</td>\n",
       "      <td>2室2厅1卫</td>\n",
       "      <td>66㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>283.8 万</td>\n",
       "      <td>43000元/㎡</td>\n",
       "      <td>桂芳园(一至四期)</td>\n",
       "      <td>布吉-大芬-龙岗大道(布吉段)2578号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>新上好房 新港鸿花园小高层带电梯 6楼 两房 房型靓 楼层好</td>\n",
       "      <td>2室1厅1卫</td>\n",
       "      <td>82.1㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>440.9 万</td>\n",
       "      <td>53700元/㎡</td>\n",
       "      <td>新港鸿花园</td>\n",
       "      <td>罗湖-翠竹-太安路128号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>近沙田站，玥供2.4K，可深公基金，带车薇，御梓园精装修3房</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>91㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>71 万</td>\n",
       "      <td>7803元/㎡</td>\n",
       "      <td>庞源御梓园</td>\n",
       "      <td>深圳周边-惠州-龙海一路</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2935</th>\n",
       "      <td>金域华府二期 带储物间大阳台 大三房诚意出售</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>85㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>690.2 万</td>\n",
       "      <td>81200元/㎡</td>\n",
       "      <td>万科金域华府</td>\n",
       "      <td>龙华-梅林关口-新区大道</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2936</th>\n",
       "      <td>百仕达东郡  高楼层 景观好 满五年 业主诚心卖</td>\n",
       "      <td>2室2厅1卫</td>\n",
       "      <td>79.8㎡</td>\n",
       "      <td>南北</td>\n",
       "      <td>546.7 万</td>\n",
       "      <td>68500元/㎡</td>\n",
       "      <td>东郡百仕达花园(四期)</td>\n",
       "      <td>罗湖-水库-太宁路38号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2937</th>\n",
       "      <td>南山蛇口育才三房，接近指导价，户型好，老业主换大房降价出售</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>92㎡</td>\n",
       "      <td>南北</td>\n",
       "      <td>708.4 万</td>\n",
       "      <td>77000元/㎡</td>\n",
       "      <td>桂园</td>\n",
       "      <td>南山-蛇口-爱榕路62号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2938</th>\n",
       "      <td>临深    新房，备案价打8折，再送两成首付，月供约4800</td>\n",
       "      <td>2室2厅2卫</td>\n",
       "      <td>96㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>156 万</td>\n",
       "      <td>16250元/㎡</td>\n",
       "      <td>九颂中奥沃华鸿禧</td>\n",
       "      <td>深圳周边-惠州-大亚湾龙山五路8号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2939</th>\n",
       "      <td>坪山实验 万科物业.地铁口物业，指导价出售万科精装三房满五</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>89.4㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>363 万</td>\n",
       "      <td>40600元/㎡</td>\n",
       "      <td>万科金域东郡</td>\n",
       "      <td>坪山-坪山-行政二路6号</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2940 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               title houseType housArea houseTrend    price  \\\n",
       "0     南站旁，玥共3.5K，带车薇，可深公基金，星河丹堤精装修3房    3室2厅1卫    77.7㎡          南    109 万   \n",
       "1           翠竹苑，指导价卖，红本满五年，总价低带翠竹没占用    2室1厅1卫      37㎡          北  268.4 万   \n",
       "2     捡漏（低于指导价15万急卖）税费少 满五年 免个税 花园中间    2室2厅1卫      66㎡          南  283.8 万   \n",
       "3     新上好房 新港鸿花园小高层带电梯 6楼 两房 房型靓 楼层好    2室1厅1卫    82.1㎡          南  440.9 万   \n",
       "4     近沙田站，玥供2.4K，可深公基金，带车薇，御梓园精装修3房    3室2厅2卫      91㎡          南     71 万   \n",
       "...                              ...       ...      ...        ...      ...   \n",
       "2935          金域华府二期 带储物间大阳台 大三房诚意出售    3室2厅2卫      85㎡          南  690.2 万   \n",
       "2936        百仕达东郡  高楼层 景观好 满五年 业主诚心卖    2室2厅1卫    79.8㎡         南北  546.7 万   \n",
       "2937   南山蛇口育才三房，接近指导价，户型好，老业主换大房降价出售    3室2厅2卫      92㎡         南北  708.4 万   \n",
       "2938  临深    新房，备案价打8折，再送两成首付，月供约4800    2室2厅2卫      96㎡          南    156 万   \n",
       "2939   坪山实验 万科物业.地铁口物业，指导价出售万科精装三房满五    3室2厅2卫    89.4㎡          南    363 万   \n",
       "\n",
       "     pricePerMeter residenceName              position  \n",
       "0         14025元/㎡        星河丹堤花园       深圳周边-惠州-星河东七路1号  \n",
       "1         72600元/㎡           翠竹苑       罗湖-翠竹-东门北路2057号  \n",
       "2         43000元/㎡     桂芳园(一至四期)  布吉-大芬-龙岗大道(布吉段)2578号  \n",
       "3         53700元/㎡         新港鸿花园         罗湖-翠竹-太安路128号  \n",
       "4          7803元/㎡         庞源御梓园          深圳周边-惠州-龙海一路  \n",
       "...            ...           ...                   ...  \n",
       "2935      81200元/㎡        万科金域华府          龙华-梅林关口-新区大道  \n",
       "2936      68500元/㎡   东郡百仕达花园(四期)          罗湖-水库-太宁路38号  \n",
       "2937      77000元/㎡            桂园          南山-蛇口-爱榕路62号  \n",
       "2938      16250元/㎡      九颂中奥沃华鸿禧     深圳周边-惠州-大亚湾龙山五路8号  \n",
       "2939      40600元/㎡        万科金域东郡          坪山-坪山-行政二路6号  \n",
       "\n",
       "[2940 rows x 8 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将数据存为dataframe\n",
    "df = pd.DataFrame(data)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c3ebf299",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将数据存入excel\n",
    "df.to_excel('data.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b25a1e7a",
   "metadata": {},
   "source": [
    "## 数据分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "194d1a1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>title</th>\n",
       "      <th>houseType</th>\n",
       "      <th>housArea</th>\n",
       "      <th>houseTrend</th>\n",
       "      <th>price</th>\n",
       "      <th>pricePerMeter</th>\n",
       "      <th>residenceName</th>\n",
       "      <th>position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>南站旁，玥共3.5K，带车薇，可深公基金，星河丹堤精装修3房</td>\n",
       "      <td>3室2厅1卫</td>\n",
       "      <td>77.7㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>109 万</td>\n",
       "      <td>14025元/㎡</td>\n",
       "      <td>星河丹堤花园</td>\n",
       "      <td>深圳周边-惠州-星河东七路1号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>翠竹苑，指导价卖，红本满五年，总价低带翠竹没占用</td>\n",
       "      <td>2室1厅1卫</td>\n",
       "      <td>37㎡</td>\n",
       "      <td>北</td>\n",
       "      <td>268.4 万</td>\n",
       "      <td>72600元/㎡</td>\n",
       "      <td>翠竹苑</td>\n",
       "      <td>罗湖-翠竹-东门北路2057号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>捡漏（低于指导价15万急卖）税费少 满五年 免个税 花园中间</td>\n",
       "      <td>2室2厅1卫</td>\n",
       "      <td>66㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>283.8 万</td>\n",
       "      <td>43000元/㎡</td>\n",
       "      <td>桂芳园(一至四期)</td>\n",
       "      <td>布吉-大芬-龙岗大道(布吉段)2578号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>新上好房 新港鸿花园小高层带电梯 6楼 两房 房型靓 楼层好</td>\n",
       "      <td>2室1厅1卫</td>\n",
       "      <td>82.1㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>440.9 万</td>\n",
       "      <td>53700元/㎡</td>\n",
       "      <td>新港鸿花园</td>\n",
       "      <td>罗湖-翠竹-太安路128号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>近沙田站，玥供2.4K，可深公基金，带车薇，御梓园精装修3房</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>91㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>71 万</td>\n",
       "      <td>7803元/㎡</td>\n",
       "      <td>庞源御梓园</td>\n",
       "      <td>深圳周边-惠州-龙海一路</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>万科天誉公馆，精装3房，可租可售</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>127.7㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>380 万</td>\n",
       "      <td>29751元/㎡</td>\n",
       "      <td>天誉国际公馆</td>\n",
       "      <td>龙岗-龙岗中心城-龙翔大道</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>新上 实地拍摄 车位充足 急降100万 绿景虹湾</td>\n",
       "      <td>2室1厅1卫</td>\n",
       "      <td>51.9㎡</td>\n",
       "      <td>东南</td>\n",
       "      <td>460.2 万</td>\n",
       "      <td>88700元/㎡</td>\n",
       "      <td>绿景虹湾</td>\n",
       "      <td>福田-下梅林-北环大道6098号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>自贸区前海时代CEO公馆165平大复式容积率高价格可观诚心卖</td>\n",
       "      <td>3室2厅3卫</td>\n",
       "      <td>164.8㎡</td>\n",
       "      <td>南北</td>\n",
       "      <td>1765 万</td>\n",
       "      <td>107100元/㎡</td>\n",
       "      <td>前海时代</td>\n",
       "      <td>南山-前海-桂湾五路128号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>业主急卖 首付只要90w 赶紧买 满五年  南北通透大三房</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>110.6㎡</td>\n",
       "      <td>南</td>\n",
       "      <td>300.8 万</td>\n",
       "      <td>27200元/㎡</td>\n",
       "      <td>鹏达花园</td>\n",
       "      <td>龙岗-龙岗中心城-碧新路2059号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>精装2房2厅，高层光线好，满五唯.一少税，诚心在卖，价格可谈</td>\n",
       "      <td>2室2厅1卫</td>\n",
       "      <td>60.3㎡</td>\n",
       "      <td>西北</td>\n",
       "      <td>335 万</td>\n",
       "      <td>55600元/㎡</td>\n",
       "      <td>和谐家园</td>\n",
       "      <td>布吉-丹竹头-龙岗大道</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                           title houseType housArea houseTrend  \\\n",
       "0           0  南站旁，玥共3.5K，带车薇，可深公基金，星河丹堤精装修3房    3室2厅1卫    77.7㎡          南   \n",
       "1           1        翠竹苑，指导价卖，红本满五年，总价低带翠竹没占用    2室1厅1卫      37㎡          北   \n",
       "2           2  捡漏（低于指导价15万急卖）税费少 满五年 免个税 花园中间    2室2厅1卫      66㎡          南   \n",
       "3           3  新上好房 新港鸿花园小高层带电梯 6楼 两房 房型靓 楼层好    2室1厅1卫    82.1㎡          南   \n",
       "4           4  近沙田站，玥供2.4K，可深公基金，带车薇，御梓园精装修3房    3室2厅2卫      91㎡          南   \n",
       "5           5                万科天誉公馆，精装3房，可租可售    3室2厅2卫   127.7㎡          南   \n",
       "6           6        新上 实地拍摄 车位充足 急降100万 绿景虹湾    2室1厅1卫    51.9㎡         东南   \n",
       "7           7  自贸区前海时代CEO公馆165平大复式容积率高价格可观诚心卖    3室2厅3卫   164.8㎡         南北   \n",
       "8           8   业主急卖 首付只要90w 赶紧买 满五年  南北通透大三房    3室2厅2卫   110.6㎡          南   \n",
       "9           9  精装2房2厅，高层光线好，满五唯.一少税，诚心在卖，价格可谈    2室2厅1卫    60.3㎡         西北   \n",
       "\n",
       "     price pricePerMeter residenceName              position  \n",
       "0    109 万      14025元/㎡        星河丹堤花园       深圳周边-惠州-星河东七路1号  \n",
       "1  268.4 万      72600元/㎡           翠竹苑       罗湖-翠竹-东门北路2057号  \n",
       "2  283.8 万      43000元/㎡     桂芳园(一至四期)  布吉-大芬-龙岗大道(布吉段)2578号  \n",
       "3  440.9 万      53700元/㎡         新港鸿花园         罗湖-翠竹-太安路128号  \n",
       "4     71 万       7803元/㎡         庞源御梓园          深圳周边-惠州-龙海一路  \n",
       "5    380 万      29751元/㎡        天誉国际公馆         龙岗-龙岗中心城-龙翔大道  \n",
       "6  460.2 万      88700元/㎡          绿景虹湾      福田-下梅林-北环大道6098号  \n",
       "7   1765 万     107100元/㎡          前海时代        南山-前海-桂湾五路128号  \n",
       "8  300.8 万      27200元/㎡          鹏达花园     龙岗-龙岗中心城-碧新路2059号  \n",
       "9    335 万      55600元/㎡          和谐家园           布吉-丹竹头-龙岗大道  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_excel('./data.xlsx')\n",
    "data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "11c326ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['housArea'] = data['housArea'].apply(lambda x:float(str(x).replace('㎡','')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "845ca4bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['pricePerMeter'] = data['pricePerMeter'].apply(lambda x:int(str(x).replace('元/㎡','')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dc374239",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['price'] = data['price'].apply(lambda x:float(str(x).replace(' 万','')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2e97707c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>title</th>\n",
       "      <th>houseType</th>\n",
       "      <th>housArea</th>\n",
       "      <th>houseTrend</th>\n",
       "      <th>price</th>\n",
       "      <th>pricePerMeter</th>\n",
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       "      <td>0</td>\n",
       "      <td>南站旁，玥共3.5K，带车薇，可深公基金，星河丹堤精装修3房</td>\n",
       "      <td>3室2厅1卫</td>\n",
       "      <td>77.7</td>\n",
       "      <td>南</td>\n",
       "      <td>109.0</td>\n",
       "      <td>14025</td>\n",
       "      <td>星河丹堤花园</td>\n",
       "      <td>深圳周边-惠州-星河东七路1号</td>\n",
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       "      <td>1</td>\n",
       "      <td>翠竹苑，指导价卖，红本满五年，总价低带翠竹没占用</td>\n",
       "      <td>2室1厅1卫</td>\n",
       "      <td>37.0</td>\n",
       "      <td>北</td>\n",
       "      <td>268.4</td>\n",
       "      <td>72600</td>\n",
       "      <td>翠竹苑</td>\n",
       "      <td>罗湖-翠竹-东门北路2057号</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>捡漏（低于指导价15万急卖）税费少 满五年 免个税 花园中间</td>\n",
       "      <td>2室2厅1卫</td>\n",
       "      <td>66.0</td>\n",
       "      <td>南</td>\n",
       "      <td>283.8</td>\n",
       "      <td>43000</td>\n",
       "      <td>桂芳园(一至四期)</td>\n",
       "      <td>布吉-大芬-龙岗大道(布吉段)2578号</td>\n",
       "    </tr>\n",
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       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>新上好房 新港鸿花园小高层带电梯 6楼 两房 房型靓 楼层好</td>\n",
       "      <td>2室1厅1卫</td>\n",
       "      <td>82.1</td>\n",
       "      <td>南</td>\n",
       "      <td>440.9</td>\n",
       "      <td>53700</td>\n",
       "      <td>新港鸿花园</td>\n",
       "      <td>罗湖-翠竹-太安路128号</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>近沙田站，玥供2.4K，可深公基金，带车薇，御梓园精装修3房</td>\n",
       "      <td>3室2厅2卫</td>\n",
       "      <td>91.0</td>\n",
       "      <td>南</td>\n",
       "      <td>71.0</td>\n",
       "      <td>7803</td>\n",
       "      <td>庞源御梓园</td>\n",
       "      <td>深圳周边-惠州-龙海一路</td>\n",
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      "text/plain": [
       "   Unnamed: 0                           title houseType  housArea houseTrend  \\\n",
       "0           0  南站旁，玥共3.5K，带车薇，可深公基金，星河丹堤精装修3房    3室2厅1卫      77.7          南   \n",
       "1           1        翠竹苑，指导价卖，红本满五年，总价低带翠竹没占用    2室1厅1卫      37.0          北   \n",
       "2           2  捡漏（低于指导价15万急卖）税费少 满五年 免个税 花园中间    2室2厅1卫      66.0          南   \n",
       "3           3  新上好房 新港鸿花园小高层带电梯 6楼 两房 房型靓 楼层好    2室1厅1卫      82.1          南   \n",
       "4           4  近沙田站，玥供2.4K，可深公基金，带车薇，御梓园精装修3房    3室2厅2卫      91.0          南   \n",
       "\n",
       "   price  pricePerMeter residenceName              position  \n",
       "0  109.0          14025        星河丹堤花园       深圳周边-惠州-星河东七路1号  \n",
       "1  268.4          72600           翠竹苑       罗湖-翠竹-东门北路2057号  \n",
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       "3  440.9          53700         新港鸿花园         罗湖-翠竹-太安路128号  \n",
       "4   71.0           7803         庞源御梓园          深圳周边-惠州-龙海一路  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "data.head()"
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6faa72bc",
   "metadata": {},
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      "<class 'pandas.core.frame.DataFrame'>\n",
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      "Data columns (total 9 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
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      " 1   title          2940 non-null   object \n",
      " 2   houseType      2940 non-null   object \n",
      " 3   housArea       2940 non-null   float64\n",
      " 4   houseTrend     2940 non-null   object \n",
      " 5   price          2940 non-null   float64\n",
      " 6   pricePerMeter  2940 non-null   int64  \n",
      " 7   residenceName  2940 non-null   object \n",
      " 8   position       2940 non-null   object \n",
      "dtypes: float64(2), int64(2), object(5)\n",
      "memory usage: 206.8+ KB\n"
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  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6ed5be9c",
   "metadata": {},
   "outputs": [
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       "                76.0,\n",
       "                87.6,\n",
       "                34.0,\n",
       "                95.0,\n",
       "                109.1,\n",
       "                77.7,\n",
       "                35.0,\n",
       "                77.6,\n",
       "                89.5,\n",
       "                147.8,\n",
       "                88.6,\n",
       "                119.0,\n",
       "                84.0,\n",
       "                93.8,\n",
       "                81.0,\n",
       "                82.4,\n",
       "                98.3,\n",
       "                90.0,\n",
       "                127.1,\n",
       "                80.0,\n",
       "                57.7,\n",
       "                117.3,\n",
       "                97.4,\n",
       "                28.3,\n",
       "                49.0,\n",
       "                140.7,\n",
       "                89.6,\n",
       "                85.0,\n",
       "                79.8,\n",
       "                92.0,\n",
       "                96.0,\n",
       "                89.4\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"type\": \"value\",\n",
       "            \"name\": \"\\u603b\\u4ef7\\uff08\\u4e07\\uff09\",\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u6df1\\u5733\\u4e8c\\u624b\\u623f \\u603b\\u4ef7-\\u9762\\u79ef \\u6563\\u70b9\\u56fe\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"visualMap\": {\n",
       "        \"show\": true,\n",
       "        \"type\": \"continuous\",\n",
       "        \"min\": 20,\n",
       "        \"max\": 190,\n",
       "        \"inRange\": {\n",
       "            \"color\": [\n",
       "                \"#50a3ba\",\n",
       "                \"#eac763\",\n",
       "                \"#d94e5d\"\n",
       "            ]\n",
       "        },\n",
       "        \"calculable\": true,\n",
       "        \"inverse\": false,\n",
       "        \"splitNumber\": 5,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"showLabel\": true,\n",
       "        \"itemWidth\": 20,\n",
       "        \"itemHeight\": 140,\n",
       "        \"borderWidth\": 0\n",
       "    }\n",
       "};\n",
       "                chart_0331d39e40d74b3d96fe66f97b73275a.setOption(option_0331d39e40d74b3d96fe66f97b73275a);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1b240ff7400>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = data[data['housArea'] < 190]\n",
    "# areaData是存每间房子的大小（平方）\n",
    "areaData = temp['housArea'].tolist()\n",
    "# totalPrice是存每间房子的总价（万）\n",
    "totalPrice = temp['price'].tolist()\n",
    "# 初始化Scatter\n",
    "scatter = Scatter(init_opts=opts.InitOpts())\n",
    "# 设置x轴数据\n",
    "scatter.add_xaxis(areaData)\n",
    "# 设置y轴数据\n",
    "scatter.add_yaxis('房价', totalPrice)\n",
    "# 不显示标志以及标出最高房价\n",
    "scatter.set_series_opts(label_opts=opts.LabelOpts(is_show=False),\n",
    "                        markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_=\"max\", name=\"最大值\"), ]))\n",
    "# 全局设置：\n",
    "scatter.set_global_opts(\n",
    "    # 不显示标志\n",
    "    legend_opts=opts.LegendOpts(is_show=False),\n",
    "    # 设置标题\n",
    "    title_opts=opts.TitleOpts(title=\"深圳二手房 总价-面积 散点图\"),\n",
    "    # 设置x轴\n",
    "    xaxis_opts=opts.AxisOpts(\n",
    "        name='面积（㎡）',\n",
    "        # 设置坐标轴为数值类型\n",
    "        type_=\"value\",\n",
    "        # 不显示分割线\n",
    "        splitline_opts=opts.SplitLineOpts(is_show=False)),\n",
    "    # 设置y轴\n",
    "    yaxis_opts=opts.AxisOpts(\n",
    "        name='总价（万）',\n",
    "        # 设置坐标轴为数值类型\n",
    "        type_=\"value\",\n",
    "        # 默认为False表示起始为0\n",
    "        is_scale=True,\n",
    "        # 不显示分割线\n",
    "        splitline_opts=opts.SplitLineOpts(is_show=False), ),\n",
    "    # 设置坐标映射区（平方）\n",
    "    visualmap_opts=opts.VisualMapOpts(is_show=True, type_='color', min_=20, max_=190))\n",
    "# 生成html文件\n",
    "scatter.render_notebook() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d6ab20ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"22ce437352a044a9ae011da02609e7bf\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_22ce437352a044a9ae011da02609e7bf = echarts.init(\n",
       "                    document.getElementById('22ce437352a044a9ae011da02609e7bf'), 'dark', {renderer: 'canvas'});\n",
       "                var option_22ce437352a044a9ae011da02609e7bf = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u4e8c\\u624b\\u623f\\u5747\\u4ef7\",\n",
       "            \"legendHoverLink\": true,\n",
       "            \"data\": [\n",
       "                132000.0,\n",
       "                132000.0,\n",
       "                132000.0,\n",
       "                132000.0,\n",
       "                132000.0,\n",
       "                132000.0,\n",
       "                138004.7,\n",
       "                153003.3,\n",
       "                200000.0,\n",
       "                293790.1\n",
       "            ],\n",
       "            \"showBackground\": false,\n",
       "            \"barMinHeight\": 0,\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"barGap\": \"30%\",\n",
       "            \"large\": false,\n",
       "            \"largeThreshold\": 400,\n",
       "            \"seriesLayoutBy\": \"column\",\n",
       "            \"datasetIndex\": 0,\n",
       "            \"clip\": true,\n",
       "            \"zlevel\": 0,\n",
       "            \"z\": 2,\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"insideRight\",\n",
       "                \"margin\": 8,\n",
       "                \"fontStyle\": \"italic\"\n",
       "            },\n",
       "            \"itemStyle\": {\n",
       "                \"color\": new echarts.graphic.LinearGradient(1, 0, 0, 0,                                              [{                                                 offset: 0,                                                 color: 'rgb(0,206,209)'                                             }, {                                                 offset: 1,                                                 color: 'rgb(218,165,32)'                                             }])\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u4e8c\\u624b\\u623f\\u5747\\u4ef7\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\\u4e8c\\u624b\\u623f\\u5747\\u4ef7\": true\n",
       "            },\n",
       "            \"show\": false,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"formatter\": \"{b}:{c}\\u5143\",\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"min\": 14,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"\\u53cc\\u73ba\\u65f6\\u5149\\u9053\",\n",
       "                \"\\u534e\\u6da6\\u6df1\\u5733\\u6e7e\\u60a6\\u5e9c(\\u4e8c\\u671f)\",\n",
       "                \"\\u534e\\u6da6\\u6df1\\u5733\\u6e7e\\u60a6\\u5e9c(\\u4e00\\u671f)\",\n",
       "                \"\\u534e\\u6da6\\u57ce\\u6da6\\u5e9c\\u4e8c\\u671f\",\n",
       "                \"\\u534e\\u6da6\\u57ce\\u6da6\\u5e9c\\u4e09\\u671f\",\n",
       "                \"\\u534e\\u6da6\\u57ce\\u6da6\\u5e9c\\u4e00\\u671f\",\n",
       "                \"\\u592a\\u5b50\\u6e7e\\u00b7\\u9cb8\\u57df\",\n",
       "                \"\\u6052\\u88d5\\u6df1\\u5733\\u6e7e(\\u65b0\\u623f)\",\n",
       "                \"\\u6df1\\u5733\\u6e7e\\u516c\\u9986(\\u65b0\\u623f)\",\n",
       "                \"\\u6df1\\u5733\\u6e7e\\u4e00\\u53f7\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u6df1\\u5733\\u4e8c\\u624b\\u623f\\u5747\\u4ef7TOP 10\\u5c0f\\u533a\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_22ce437352a044a9ae011da02609e7bf.setOption(option_22ce437352a044a9ae011da02609e7bf);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1b2410c8f40>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = data.groupby(['residenceName'])['pricePerMeter'].agg(['mean', 'count']).reset_index()\n",
    "\n",
    "# 该小区内至少3套在售房源才统计\n",
    "data_pair = sorted([(row['residenceName'], round(row['mean'], 1)) if row['count']>=3 else (0, 0)\n",
    "                    for _, row in temp.iterrows()], key=lambda x: x[1], reverse=True)[:10]\n",
    "\n",
    "bar = (Bar(init_opts=opts.InitOpts(theme='dark'))\n",
    "       .add_xaxis([x[0] for x in data_pair[::-1]])\n",
    "       .add_yaxis('二手房均价', [x[1] for x in data_pair[::-1]])\n",
    "       .set_series_opts(label_opts=opts.LabelOpts(is_show=True, \n",
    "                                                       position='insideRight',\n",
    "                                                       font_style='italic'),\n",
    "                            itemstyle_opts=opts.ItemStyleOpts(\n",
    "                                color=JsCode(\"\"\"new echarts.graphic.LinearGradient(1, 0, 0, 0, \n",
    "                                             [{\n",
    "                                                 offset: 0,\n",
    "                                                 color: 'rgb(0,206,209)'\n",
    "                                             }, {\n",
    "                                                 offset: 1,\n",
    "                                                 color: 'rgb(218,165,32)'\n",
    "                                             }])\"\"\"))\n",
    "                            )\n",
    "       .set_global_opts(\n",
    "           title_opts=opts.TitleOpts(title=\"深圳二手房均价TOP 10小区\"),\n",
    "           legend_opts=opts.LegendOpts(is_show=False),\n",
    "           tooltip_opts=opts.TooltipOpts(formatter='{b}:{c}元'),\n",
    "           xaxis_opts=opts.AxisOpts(min_=14),\n",
    "       )\n",
    "       .reversal_axis()\n",
    "      )\n",
    "\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bf2ee1e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('1室0厅0卫', 5), ('1室0厅1卫', 32), ('1室1厅1卫', 171), ('1室2厅1卫', 13), ('2室0厅0卫', 1), ('2室1厅1卫', 123), ('2室1厅2卫', 7), ('2室2厅1卫', 479), ('2室2厅2卫', 22), ('2室2厅3卫', 1), ('3室0厅1卫', 1), ('3室1厅1卫', 30), ('3室1厅2卫', 9), ('3室2厅1卫', 543), ('3室2厅2卫', 713), ('3室2厅3卫', 8), ('4室1厅1卫', 5), ('4室2厅1卫', 15), ('4室2厅2卫', 331), ('4室2厅3卫', 41), ('4室2厅4卫', 6), ('4室2厅5卫', 1), ('4室2厅6卫', 1), ('4室3厅2卫', 1), ('4室3厅3卫', 2), ('5室2厅2卫', 55), ('5室2厅3卫', 19), ('5室2厅4卫', 6), ('5室3厅2卫', 2), ('5室3厅3卫', 2), ('6室2厅2卫', 5), ('6室2厅3卫', 8), ('6室2厅4卫', 2), ('6室2厅6卫', 1), ('6室3厅3卫', 2), ('6室3厅4卫', 1), ('6室4厅4卫', 1), ('7室2厅3卫', 3), ('8室2厅3卫', 3)]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"ad23e9c01d5b4471b6a04cf7aac2a3dc\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_ad23e9c01d5b4471b6a04cf7aac2a3dc = echarts.init(\n",
       "                    document.getElementById('ad23e9c01d5b4471b6a04cf7aac2a3dc'), 'white', {renderer: 'canvas'});\n",
       "                var option_ad23e9c01d5b4471b6a04cf7aac2a3dc = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
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       "                {\n",
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       "                    \"value\": 30\n",
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       "                {\n",
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       "                    \"value\": 9\n",
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       "                {\n",
       "                    \"name\": \"3\\u5ba42\\u53851\\u536b\",\n",
       "                    \"value\": 543\n",
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       "                {\n",
       "                    \"name\": \"3\\u5ba42\\u53852\\u536b\",\n",
       "                    \"value\": 713\n",
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       "                {\n",
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       "                {\n",
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       "                    \"value\": 15\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"4\\u5ba42\\u53852\\u536b\",\n",
       "                    \"value\": 331\n",
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       "                {\n",
       "                    \"name\": \"4\\u5ba42\\u53853\\u536b\",\n",
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       "                },\n",
       "                {\n",
       "                    \"name\": \"4\\u5ba42\\u53854\\u536b\",\n",
       "                    \"value\": 6\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"4\\u5ba42\\u53855\\u536b\",\n",
       "                    \"value\": 1\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"4\\u5ba42\\u53856\\u536b\",\n",
       "                    \"value\": 1\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"4\\u5ba43\\u53852\\u536b\",\n",
       "                    \"value\": 1\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"4\\u5ba43\\u53853\\u536b\",\n",
       "                    \"value\": 2\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"5\\u5ba42\\u53852\\u536b\",\n",
       "                    \"value\": 55\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"5\\u5ba42\\u53853\\u536b\",\n",
       "                    \"value\": 19\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"5\\u5ba42\\u53854\\u536b\",\n",
       "                    \"value\": 6\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"5\\u5ba43\\u53852\\u536b\",\n",
       "                    \"value\": 2\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"5\\u5ba43\\u53853\\u536b\",\n",
       "                    \"value\": 2\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"6\\u5ba42\\u53852\\u536b\",\n",
       "                    \"value\": 5\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"6\\u5ba42\\u53853\\u536b\",\n",
       "                    \"value\": 8\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"6\\u5ba42\\u53854\\u536b\",\n",
       "                    \"value\": 2\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"6\\u5ba42\\u53856\\u536b\",\n",
       "                    \"value\": 1\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"6\\u5ba43\\u53853\\u536b\",\n",
       "                    \"value\": 2\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"6\\u5ba43\\u53854\\u536b\",\n",
       "                    \"value\": 1\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"6\\u5ba44\\u53854\\u536b\",\n",
       "                    \"value\": 1\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"7\\u5ba42\\u53853\\u536b\",\n",
       "                    \"value\": 3\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"8\\u5ba42\\u53853\\u536b\",\n",
       "                    \"value\": 3\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"30%\",\n",
       "                \"55%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                400,\n",
       "                300\n",
       "            ],\n",
       "            \"roseType\": \"radius\",\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}: {d}%\"\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"1\\u5ba40\\u53850\\u536b\",\n",
       "                \"1\\u5ba40\\u53851\\u536b\",\n",
       "                \"1\\u5ba41\\u53851\\u536b\",\n",
       "                \"1\\u5ba42\\u53851\\u536b\",\n",
       "                \"2\\u5ba40\\u53850\\u536b\",\n",
       "                \"2\\u5ba41\\u53851\\u536b\",\n",
       "                \"2\\u5ba41\\u53852\\u536b\",\n",
       "                \"2\\u5ba42\\u53851\\u536b\",\n",
       "                \"2\\u5ba42\\u53852\\u536b\",\n",
       "                \"2\\u5ba42\\u53853\\u536b\",\n",
       "                \"3\\u5ba40\\u53851\\u536b\",\n",
       "                \"3\\u5ba41\\u53851\\u536b\",\n",
       "                \"3\\u5ba41\\u53852\\u536b\",\n",
       "                \"3\\u5ba42\\u53851\\u536b\",\n",
       "                \"3\\u5ba42\\u53852\\u536b\",\n",
       "                \"3\\u5ba42\\u53853\\u536b\",\n",
       "                \"4\\u5ba41\\u53851\\u536b\",\n",
       "                \"4\\u5ba42\\u53851\\u536b\",\n",
       "                \"4\\u5ba42\\u53852\\u536b\",\n",
       "                \"4\\u5ba42\\u53853\\u536b\",\n",
       "                \"4\\u5ba42\\u53854\\u536b\",\n",
       "                \"4\\u5ba42\\u53855\\u536b\",\n",
       "                \"4\\u5ba42\\u53856\\u536b\",\n",
       "                \"4\\u5ba43\\u53852\\u536b\",\n",
       "                \"4\\u5ba43\\u53853\\u536b\",\n",
       "                \"5\\u5ba42\\u53852\\u536b\",\n",
       "                \"5\\u5ba42\\u53853\\u536b\",\n",
       "                \"5\\u5ba42\\u53854\\u536b\",\n",
       "                \"5\\u5ba43\\u53852\\u536b\",\n",
       "                \"5\\u5ba43\\u53853\\u536b\",\n",
       "                \"6\\u5ba42\\u53852\\u536b\",\n",
       "                \"6\\u5ba42\\u53853\\u536b\",\n",
       "                \"6\\u5ba42\\u53854\\u536b\",\n",
       "                \"6\\u5ba42\\u53856\\u536b\",\n",
       "                \"6\\u5ba43\\u53853\\u536b\",\n",
       "                \"6\\u5ba43\\u53854\\u536b\",\n",
       "                \"6\\u5ba44\\u53854\\u536b\",\n",
       "                \"7\\u5ba42\\u53853\\u536b\",\n",
       "                \"8\\u5ba42\\u53853\\u536b\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": false,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u6df1\\u5733\\u4e8c\\u624b\\u623f \\u7c7b\\u578b\\u5206\\u5e03\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_ad23e9c01d5b4471b6a04cf7aac2a3dc.setOption(option_ad23e9c01d5b4471b6a04cf7aac2a3dc);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1b240a015b0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = data[data['housArea'] < 190]\n",
    "data_pair = []\n",
    "# 用房子类型做分区条件，筛出各种房子类型的数量\n",
    "temp = temp.groupby(['houseType']).count().reset_index()\n",
    "for _, row in temp.iterrows():  # _是索引\n",
    "    # 制作元组（类型，数量）\n",
    "    data_pair.append((row['houseType'], row['housArea']))\n",
    "print(data_pair)\n",
    "# 初始化Pie\n",
    "pie = Pie(init_opts=opts.InitOpts())\n",
    "\n",
    "pie.add('', data_pair,\n",
    "        # 设置图案坐标\n",
    "        center=[400,300],\n",
    "        # 设置半径（内半径，外半径）\n",
    "        radius=[\"30%\", \"55%\"],\n",
    "        # 设置radius样式\n",
    "        rosetype=\"radius\")\n",
    "# 设置标题和不显示导航\n",
    "pie.set_global_opts(title_opts=opts.TitleOpts(title=\"深圳二手房 类型分布\"), legend_opts=opts.LegendOpts(is_show=False))\n",
    "# 设置标签的格式\n",
    "pie.set_series_opts(label_opts=opts.LabelOpts(formatter=\"{b}: {d}%\"))\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a7b2dd2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('0到50平方', 2.09), ('50到100平方', 16.18), ('100到150平方', 6.7), ('150到200平方', 1.95)]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"b62a3b6858e940928c7e59011ceb813b\" style=\"width:3000px; height:3000px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_b62a3b6858e940928c7e59011ceb813b = echarts.init(\n",
       "                    document.getElementById('b62a3b6858e940928c7e59011ceb813b'), 'white', {renderer: 'canvas'});\n",
       "                var option_b62a3b6858e940928c7e59011ceb813b = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"clockwise\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"0\\u523050\\u5e73\\u65b9\",\n",
       "                    \"value\": 2.09\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"50\\u5230100\\u5e73\\u65b9\",\n",
       "                    \"value\": 16.18\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"100\\u5230150\\u5e73\\u65b9\",\n",
       "                    \"value\": 6.7\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"150\\u5230200\\u5e73\\u65b9\",\n",
       "                    \"value\": 1.95\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                100,\n",
       "                200\n",
       "            ],\n",
       "            \"center\": [\n",
       "                400,\n",
       "                300\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}: {d}%\"\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"0\\u523050\\u5e73\\u65b9\",\n",
       "                \"50\\u5230100\\u5e73\\u65b9\",\n",
       "                \"100\\u5230150\\u5e73\\u65b9\",\n",
       "                \"150\\u5230200\\u5e73\\u65b9\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": false,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u6df1\\u5733\\u4e8c\\u624b\\u623f \\u623f\\u6e90\\u5927\\u5c0f\\u5206\\u5e03 (0-200\\u33a1)\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_b62a3b6858e940928c7e59011ceb813b.setOption(option_b62a3b6858e940928c7e59011ceb813b);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1b240a01430>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = data[data['housArea'] <= 200]\n",
    "# data_pair是一个列表，列表元素是元组，元组只有：字符串和一个数据\n",
    "data_pair = []\n",
    "for i in range(50, 201, 50):\n",
    "    data_pair.append((str(i - 50) + '到' + str(i) + '平方',\n",
    "                      temp[(temp['housArea'] <= i) & (temp['housArea'] > i - 50)].count()['housArea'] / 100))\n",
    "print(data_pair)\n",
    "# 初始化Pie\n",
    "pie = Pie(init_opts=opts.InitOpts(width=\"3000px\",height=\"3000px\"))\n",
    "# 将data_pair传入，图形坐标和图形大小（内半径和外半径）\n",
    "pie.add('', data_pair, center=[400, 300], radius=[100, 200])\n",
    "# 设置Pie的整体参数：标题，不显示导航\n",
    "pie.set_global_opts(title_opts=opts.TitleOpts(title=\"深圳二手房 房源大小分布 (0-200㎡)\"), legend_opts=opts.LegendOpts(is_show=False))\n",
    "# 设置标签格式\n",
    "pie.set_series_opts(label_opts=opts.LabelOpts(formatter=\"{b}: {d}%\"))\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7325d5d4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
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